Vulnerability in Vllm
CVE-2026-44223
vLLM is an inference and serving engine for large language models (LLMs). From to before 0.20.0, the extract_hidden_states speculative decoding proposer in vLLM returns a tensor with an incorrect shape after the first decode step, causing…
EPSS: 0.000 (3.4th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.
Affected products
- Vllm
- Vllm-project Vllm — versions >= 0.18.0, < 0.20.0
Weakness classification (CWE)
References
- security-advisories@github.com (Patch, x_refsource_MISC, Issue Tracking)
- security-advisories@github.com (x_refsource_CONFIRM, Mitigation, Vendor Advisory)
Frequently asked questions
- What is CVE-2026-44223?
- CVE-2026-44223 is a medium-severity vulnerability in Vllm, classified under Incorrect Calculation of Buffer Size. CVSS score: 6.5/10. Published 2026-05-12.
- How severe is CVE-2026-44223?
- Medium severity. CVSS v3 base score is 6.5 out of 10.